lets_plot.GGBunch

class lets_plot.GGBunch

Collection of plots created by ggplot function. Use method add_plot() to add plot to ‘bunch’. Each plot can have arbitrary location and size. Use show() to draw all plots in bunch.

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
np.random.seed(42)
n = 100
x = np.arange(n)
y = np.random.normal(size=n)
w, h = 200, 150
p = ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + ggsize(w, h)
bunch = GGBunch()
bunch.add_plot(p + geom_point(), 0, 0)
bunch.add_plot(p + geom_histogram(bins=3), w, 0)
bunch.add_plot(p + geom_line(), 0, h, 2*w, h)
bunch.show()

__init__()

Initialize self.

add_plot(plot_spec: lets_plot.plot.core.PlotSpec, x, y, width=None, height=None)

Add plot to ‘bunch’.

Parameters

• plot_spec – Plot specification created by ggplot() function.

• x (int) – x-coordinate of plot origin in px.

• y (int) – y-coordinate of plot origin in px.

• width (int) – Width of plot in px.

• height (int) – Height of plot in px.

as_dict()

Returns the dictionary of all properties of the object with as_dict() applied recursively to all subproperties of FeatureSpec type.

Returns

Dictionary of properties.

Return type

dict

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot({'x': [0], 'y': [0]}) + geom_point(aes('x', 'y'))
p.as_dict()

{'data': {'x': [0], 'y': [0]},
 'mapping': {'x': None, 'y': None},
 'data_meta': {},
 'kind': 'plot',
 'scales': [],
 'layers': [{'geom': 'point',
   'stat': None,
   'data': None,
   'mapping': {'x': 'x', 'y': 'y'},
   'position': None,
   'show_legend': None,
   'sampling': None,
   'tooltips': None,
   'data_meta': {},
   'map': None,
   'map_join': None}]}

show()

Draw all plots currently in this ‘bunch’.

props()

Returns the dictionary of all properties of the object in their initial form.

Returns

Dictionary of properties.

Return type

dict

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot({'x': [0], 'y': [0]}) + geom_point(aes('x', 'y'))
p.props()

{'data': {'x': [0], 'y': [0]},
 'mapping': <lets_plot.plot.core.FeatureSpec at 0x9cd7188>,
 'data_meta': {}}